“This report validates the broad applicability—and true value—of computational modeling and simulation as a critical engineering discipline. Tangible cost, quality and performance improvements are being realized by the early adopters.”
“The solution provider that builds the device and creates the algorithm should consider integration and accountability among multiple other challenges. But meeting the needs of the third element in the equation, the doctors, is key.”
Akido is focused on addressing the systemic inequities that lead to chronic illness and vulnerability through early interventions designed around social determinants of health (SDoH), best-in-class care and human-centered technology.
The chronic, progressive presentation of COPD, symptom overlap, and nature of patient self-reporting make it hard to identify exacerbations. We need more specific guidelines around, as well as tools for, assessing a patient’s progression from day to day. AI-supported diagnostic systems represent a potential breakthrough technology that could help us overcome significant knowledge gaps.
The world of medicine has long centered on the central maxim laid out in the Hippocratic Oath, “Do no harm.” When we look at the growth of AI in health care, I say let’s also include a 21st-century addendum, “Do not deceive.”
Rama Chellappa, PhD, John Hopkins University Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, and co-author of “Can We Trust AI?” looks at the promise of AI in health care and how we can best utilize this extraordinary tool to save lives and improve health equity.
MedTech IoT start-ups and early-stage innovators often launch with a minimum viable product, or MVP, a version with just enough features and stability to be used in clinical or field-testing. With the right MVP, companies can prove technical feasibility and position themselves for success with investors. Here is how to get there.
Connectivity in medical devices creates new diagnostic and treatment opportunities, yet at the same time increases the risks of cyberattacks—including their consequences for patient safety and data privacy. Now the new IEC 81001-5-1 standard provides clear technical requirements for manufacturers and developers to ensure the cybersecurity of their products across their life cycle.
Connected sensors are a key component to improving patient access to and patient retention in clinical trials. Following are considerations for developers and sponsors when designing and selecting sensors for use in trials.
MedTech Intelligence will host four vertical in-person events in 2023 covering connected care, regulatory compliance, advanced manufacturing and supply chain. The Washington, DC-based conferences bring together MedTech professionals for education, networking and discussion on the key challenges and opportunities facing the MedTech industry.
